论文标题
对短弧多普勒雷达观测的强大初始轨道测定
Robust initial orbit determination for short-arc Doppler radar observations
论文作者
论文摘要
提出了一种具有嵌入式不确定性定量功能的新的多普勒雷达初始轨道测定算法。该方法基于高斯和兰伯特的求解器的组合。整个过程是在差分代数框架中进行的，该框架提供了针对测量的不确定性的泰勒估计值的扩展。此功能使该方法特别适合处理数据关联问题。使用模拟和实际数据进行了与多普勒集成方法的比较。所提出的方法被证明更准确，更健壮，特别适合短暂的观察结果。
A new Doppler radar initial orbit determination algorithm with embedded uncertainty quantification capabilities is presented. The method is based on a combination of Gauss' and Lambert's solvers. The whole process is carried out in the Differential Algebra framework, which provides the Taylor expansion of the state estimate with respect to the measurements' uncertainties. This feature makes the approach particularly suited for handling data association problems. A comparison with the Doppler integration method is performed using both simulated and real data. The proposed approach is shown to be more accurate and robust, and particularly suited for short-arc observations.
